Chih-hung Chien
Staff Software Engineer at TXOne Networks
Taiwan
Summary
🤩
Rockstar🎓
Top SchoolChih-hung Chien is a Staff Software Engineer in Taiwan with 10 years’ experience building production-ready systems, CI/CD pipelines, and release processes across semiconductor, telecom, and cybersecurity domains. He combines backend data-pipeline and big-data cluster operations experience from TSMC with cloud MLaaS and Spark work at Chunghwa Telecom, and later led release and readiness for security products at Trend Micro and TXOne Networks. An active open-source contributor, he has improved the Apache TVM compiler frontends (notably TFLite transpose/tile support) and hardened build/test infrastructure for Apache Submarine, reflecting a blend of ML engineering and DevOps expertise. Known for operational rigor and customer-facing technical support, he brings a practical focus on maintainability, cross-browser testability, and operator correctness in complex stacks.
10 years of coding experience
7 years of employment as a software developer
Master Computer Science and Information Engineering, Master Computer Science and Information Engineering at National Chung Cheng University
Github Skills (25)
tvm10
kubernetes10
docker10
python10
testing10
relay-modern10
machine-learning10
dockers10
cicd10
compiler-compiler10
kubernetes-pods10
compiler10
relay10
tensorflow9
tflite9
Programming languages (11)
Github contributions (5)
apache/tvm
Aug 2019 - Jun 2020
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Role in this project:
ML Engineer
ML EngineerContributions:9 reviews, 29 commits, 41 PRs in 10 months
Contributions summary:Chih-hung primarily contributed to improving the TVM compiler stack, focusing on the Relay frontend. Their work involved implementing and testing new features, specifically the transpose and tile operations for the TFLite frontend. They also addressed several issues related to operator support across various frontends (ONNX, TFLite, Keras, TensorFlow), including handling auto_pad, implementing the NonZero and And operators, fixing ReLU and range operator issues and improving code comments of operators to align the naming rule.
metalvulkancompilertensoropencl
apache/submarine
Jan 2020 - May 2020
Submarine is Cloud Native Machine Learning Platform.
Role in this project:DevOps Engineer
DevOps EngineerContributions:11 commits, 13 PRs, 23 comments in 3 months
Contributions summary:Chih-hung's contributions primarily revolve around improving the build and testing infrastructure of the submarine project. They focused on upgrading Dockerfiles to use Ubuntu 18+, supporting Firefox in testing the workbench-web with Angular, and resolving Node.js yarn build errors. Furthermore, they also added tests to the TensorFlowServiceSpec class. Their work reflects a focus on ensuring the project's maintainability, testability, and cross-browser compatibility.
machine-learning-platformlearning-platformdeep-learningnotebookdocker
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